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Identifying a potential insider using classification models

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Abstract

Classification models based on statistical data have been developed that make it possible to identify a potential insider based on the indicators that manifest in the context of data incompleteness regarding the insider’s behavior.

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References

  1. IBM SPSS Modeler 16 Algorithms Guide–2013. ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/AlgorithmsGuide.pdf. Cited January 28, 2016.

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Authors and Affiliations

  1. National Research Nuclear University Moscow Engineering Physics Institute, Moscow, 115409, Russia

    A. S. Zaytsev & A. A. Malyuk

Authors
  1. A. S. Zaytsev
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  2. A. A. Malyuk
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Corresponding author

Correspondence to A. S. Zaytsev.

Additional information

Original Russian Text © A.S. Zaytsev, A.A. Malyuk, 2017, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.

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Zaytsev, A.S., Malyuk, A.A. Identifying a potential insider using classification models. Aut. Control Comp. Sci. 51, 860–866 (2017). https://doi.org/10.3103/S0146411617080259

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  • DOI: https://doi.org/10.3103/S0146411617080259

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